Parametric optimization of supercritical coal-fired power plants by MINLP and differential evolution
Parametric optimization of supercritical coal-fired power plants by MINLP and differential evolution
复制标题
基于 MINLP 和差分进化的超临界燃煤电厂参数优化
DOI：
10.1016/j.enconman.2014.01.006
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发表时间：
2014-09
影响因子：
10.4
通讯作者：
Tsatsaronis, George
中科院分区：
文献类型：
--
作者：
Yang, Yongping;Dong, Changqing;Morosuk, Tatiana;Tsatsaronis, George
通过结合超结构和混合整数非线性规划（MINLP）技术，可以更有效地在能量转换系统的热力学和经济性之间进行设计权衡。决策空间的前沿显示了不同的最优系统结构和过程变量的经济行为和系统效率的最优集合，可以为热力系统的成本效益设计提供额外的有用信息。在本文中，这一思想被成功地应用到超临界燃煤电厂，探讨在各个效率水平的经济优化设计。建造了包括多达10个给水预热器、多达2个再热器和一个带抽汽（ET）的二级涡轮机的上部结构。采用改进的差分进化算法同时求解参数和结构优化问题。文中还详细讨论了不同植物类型锋的差异、锋随植物效率的变化以及引入ET的影响。对于单个再热装置，可以实现2%的电力成本降低。最佳再热压比为0.15-0.25（单次再热）、0.2-0.3和0.15-0.3（双次再热）。
The design trade-offs between thermodynamics and economics of energy conversion systems can be more effective by combining a superstructure and mixed-integer non-linear programming (MINLP) techniques. The front of decision space showing the optimal sets of economic behavior and system efficiency with different corresponding optimal system structures and process variables can provide additional and useful information on cost-effective design of thermal systems. In this paper, this idea was successfully applied to supercritical coal-fired power plants to investigate the economically-optimal designs at each efficiency level. The superstructure involving up to ten feedwater preheaters, up to two reheatings and a secondary turbine with steam extractions (ET) was built. An improved differential evolution algorithm was used to simultaneously solve the parametric and structural optimization problem. The differences among the fronts of various types of plants, the front changes with plant efficiency and the effects of introducing an ET were discussed in detail. For a single reheating unit, a decrease of 2% in cost of electricity can be achieved. The optimal pressure ratios of reheatings are 0.15–0.25 (for single reheating), 0.2–0.3 and 0.15–0.3 (for double reheatings).
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影响因子：
10.4
作者：
Tor-Martin Tveit;Tuula Savola;Alemayehu Gebremedhin;C. Fogelholm
通讯作者：
Tor-Martin Tveit;Tuula Savola;Alemayehu Gebremedhin;C. Fogelholm
DOI：
10.5860/choice.33-4516
发表时间：
1995-11
期刊：
--
影响因子：
--
作者：
A. Bejan;G. Tsatsaronis;M. J. Moran
通讯作者：
A. Bejan;G. Tsatsaronis;M. J. Moran
影响因子：
4.3
作者：
S. A. Papoulias;I. Grossmann
通讯作者：
S. A. Papoulias;I. Grossmann
DOI：
10.5860/choice.44-2754
发表时间：
2005-03
期刊：
--
影响因子：
--
作者：
J. Snyman
通讯作者：
J. Snyman
影响因子：
9
作者：
Jie Xiong;Haibo Zhao*;Chao Zhang;Chuguang Zheng;Peter B. Luh
通讯作者：
Peter B. Luh